Splunk Exam SPLK-5001 Topic 6 Question 9 Discussion

Actual exam question for Splunk's SPLK-5001 exam

Question #: 9
Topic #: 6

After discovering some events that were missed in an initial investigation, an analyst determines this is because some events have an empty src field. Instead, the required data is often captured in another field called machine_name.

What SPL could they use to find all relevant events across either field until the field extraction is fixed?

A| eval src = coalesce(src,machine_name)

B| eval src = src + machine_name

C| eval src = src . machine_name

D| eval src = tostring(machine_name)

Show Suggested Answer

Suggested Answer: A

by Julieta at Sep 12, 2024, 10:40 PM

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Kayleigh

2 months ago

Has anyone else noticed that the machine_name field sounds like something out of a sci-fi movie? Maybe we're dealing with some sentient AI that's trying to hide its true identity. Option D it is!

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Cristen

1 months ago

User 3: I never thought about it that way, but now that you mention it, machine_name does sound like it's from a sci-fi movie. Option D it is!

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Kris

1 months ago

Yeah, machine_name does sound pretty futuristic. Option D seems like the right choice.

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Francoise

2 months ago

That's an interesting theory! I agree, let's go with Option D.

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Ryan

2 months ago

I'm not sure, but I think option D) | eval src = tostring(machine_name) could also work

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Margret

2 months ago

I'm leaning towards Option C. Concatenating the two fields together with the '.' operator might be a bit more explicit about what we're doing, though Option A is also a solid choice.

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Blondell

28 days ago

Option A it is then. Coalescing the fields will help us capture all relevant events until the field extraction is fixed.

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Mari

1 months ago

I would go with Option A as well. It's a clear way to handle the empty src field by using coalesce.

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Yoko

1 months ago

I agree, Option A seems like the most straightforward solution to combine the two fields.

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Mee

1 months ago

I think Option A is the best choice. Using the coalesce function ensures we capture the required data from either field.

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Josphine

2 months ago

I agree with Andree, using coalesce will help find all relevant events

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Mona

3 months ago

Option A looks good to me. The coalesce() function will allow us to use the src field if it's not empty, and fall back to the machine_name field if it is. Seems like the most straightforward solution.

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Albert

1 months ago

Definitely, coalesce() is a handy function for situations like this. It helps maintain data integrity and ensures we don't miss any important events.

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Rikki

2 months ago

I agree, using coalesce() is a smart way to handle the empty src field. It ensures we capture all relevant events until the field extraction is fixed.

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Angelyn

2 months ago

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Andree

3 months ago

I think the answer is A) | eval src = coalesce(src,machine_name)

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